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Rich Applications info6005
Les Carr, Dave Tarrant lac,[email protected]
Electronics and Computer Science
Rich Applications info6005
Les Carr, Dave Tarrant lac,[email protected]
Electronics and Computer Science This work is licensed under a Creative Commons Attribution 3.0 Unported License. Image attribution included when available.
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Key Aim
Data Rich Applications
and Open Data
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What is a data rich application?
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But what makes a rich application?
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Nike+GPS
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National Rail
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Foursquare
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Applications and data are resources which can be used to build new applications… quickly.
Rich applications source data and services from many places to provide something new.
Presented in the correct way, a simple breakthrough can make a $RICH$ Application.
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What makes a rich application?
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Pretty Addictive
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What makes a rich application?
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From the Course Outline (1)
§ User centric (participatory) design
§ HCI, user experience, limitations and success factors
§ Top-down development and bottom-up design.
Now called UX Design
(User eXperience) 11
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From the Course Outline (2)
§ Evidence based research in developing rich, maintainable and usable applications.
§ Main current debates within the discipline and theories informing these debates.
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Lastly….
§ Agile
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Recap…
§ In this module we are going to look at the benefit of using open data to develop rich applications.
§ By focusing on the end user and target market we are going to look at how to pitch a product and potential build a business.
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Course Topics
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Lectures
§ 2 a week until after Easter.
§ Guest Lectures – Will fit in schedule dependent on guest
availability
§ Keep an eye on the website and turn up to find out what is happening.
§ www.ecs.soton.ac.uk/notes/info6005
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Course Balance (Teaching)
Technologies
“The Bigger Picture”
Data Linked-Data
APIs Mash-ups Validation Alignment
Open Innovation Marketing Pitching
Psychology Games
UX Design
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Course Outline
§ First 5/6 Lectures – Open Data
– Discovering Open Data
– Importing
– Validating
– Aligning
– Visualising
Coursework 1 - Visualisations 18
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Coursework 1 - Visualisations
§ Take a given data set and visualize the data for discovery and exploration in at least two different ways.
§ Not sure if maps will be banned.
§ Individually assessed.
§ (To Be Confirmed)
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Course Outline
§ ~9 Lectures – Rapid Innovation
– Mobile Development
– UX Theory and Evaluation
– Game Theory
– Addiction
– Open Innovation and IP
– Pitching
Coursework 2 – A Rich Application 20
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Coursework 2 - Develop and Present a Rich Application (Group)
§ This is an open ended coursework however: – It must use at least two sources of open
data
– Must show good UX Design
– Must be a product with a target market
– Must use at least one technology outlined on this course.
– Must have a working prototype that demonstrates above (not necessarily complete).
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Coursework 2 - Assessment
§ Each application will be pitched to a panel of professional judges (dragons) – The Pitch is worth a lot of marks
§ Each application must be accompanied with report (~8 Pages, no more than 12) outlining design choices and target markets
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Little tip for success on this course
Produce products, not code (code is a tool used to produce a product)
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Good Luck and Have Fun